Sync from v0.13

tests/kernels/attention/test_rocm_attention_selector.py

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+# SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+
+import pytest
+import torch
+
+from vllm.attention.selector import _cached_get_attn_backend, get_attn_backend
+from vllm.platforms.rocm import RocmPlatform
+
+
+@pytest.fixture(autouse=True)
+def clear_cache():
+    """Clear lru cache to ensure each test case runs without caching."""
+    _cached_get_attn_backend.cache_clear()
+
+
+@pytest.mark.skip(reason="Skipped for now. Should be revisited.")
+def test_selector(monkeypatch: pytest.MonkeyPatch):
+    with monkeypatch.context() as m:
+        m.setenv("VLLM_ATTENTION_BACKEND", "ROCM_ATTN")
+
+        # Set the current platform to ROCm using monkeypatch
+        monkeypatch.setattr("vllm.attention.selector.current_platform", RocmPlatform())
+
+        # Test standard ROCm attention
+        backend = get_attn_backend(16, torch.float16, torch.float16, 16, False)
+        assert backend.get_name() == "ROCM_FLASH" or backend.get_name() == "TRITON_ATTN"
+
+        # MLA test for deepseek related
+
+        # change the attention backend to triton MLA
+        m.setenv("VLLM_ATTENTION_BACKEND", "TRITON_MLA")
+        backend = get_attn_backend(576, torch.bfloat16, "auto", 16, False, use_mla=True)
+        assert backend.get_name() == "TRITON_MLA"
+
+        # If attention backend is None
+        # If use_mla is true
+        # The selected backend is triton MLA
+        m.setenv("VLLM_ATTENTION_BACKEND", "")
+        backend = get_attn_backend(576, torch.bfloat16, "auto", 16, False, use_mla=True)
+        assert backend.get_name() == "TRITON_MLA"
+
+        # change the attention backend to AITER MLA
+        m.setenv("VLLM_ATTENTION_BACKEND", "ROCM_AITER_MLA")
+        backend = get_attn_backend(576, torch.bfloat16, "auto", 1, False, use_mla=True)
+        assert backend.get_name() == "ROCM_AITER_MLA"
+
+        # If attention backend is None
+        # If use_mla is true
+        # If VLLM_ROCM_USE_AITER is enabled
+        # The selected backend is ROCM_AITER_MLA
+        m.setenv("VLLM_ATTENTION_BACKEND", "")
+        m.setenv("VLLM_ROCM_USE_AITER", "1")
+        backend = get_attn_backend(576, torch.bfloat16, "auto", 1, False, use_mla=True)
+        assert backend.get_name() == "ROCM_AITER_MLA"